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Mathematical Modeling of p53 Pathways

Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player i...

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Detalles Bibliográficos
Autores principales: Kim, Eunjung, Kim, Jae-Young, Lee, Joo-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834204/
https://www.ncbi.nlm.nih.gov/pubmed/31635420
http://dx.doi.org/10.3390/ijms20205179
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author Kim, Eunjung
Kim, Jae-Young
Lee, Joo-Yong
author_facet Kim, Eunjung
Kim, Jae-Young
Lee, Joo-Yong
author_sort Kim, Eunjung
collection PubMed
description Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player in these stress response systems. When activated under DNA damage stress, p53 regulates hundreds of genes that are involved in DNA repair, cell cycle, and apoptosis. Recently, increasing studies have demonstrated additional regulatory roles of p53 in metabolism and mitochondrial physiology. Due to the inherent complexity of feedback loops between p53 and its target genes, the application of mathematical modeling has emerged as a novel approach to better understand the multifaceted functions and dynamics of p53. In this review, we discuss several mathematical modeling approaches in exploring the p53 pathways.
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spelling pubmed-68342042019-11-25 Mathematical Modeling of p53 Pathways Kim, Eunjung Kim, Jae-Young Lee, Joo-Yong Int J Mol Sci Review Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player in these stress response systems. When activated under DNA damage stress, p53 regulates hundreds of genes that are involved in DNA repair, cell cycle, and apoptosis. Recently, increasing studies have demonstrated additional regulatory roles of p53 in metabolism and mitochondrial physiology. Due to the inherent complexity of feedback loops between p53 and its target genes, the application of mathematical modeling has emerged as a novel approach to better understand the multifaceted functions and dynamics of p53. In this review, we discuss several mathematical modeling approaches in exploring the p53 pathways. MDPI 2019-10-18 /pmc/articles/PMC6834204/ /pubmed/31635420 http://dx.doi.org/10.3390/ijms20205179 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kim, Eunjung
Kim, Jae-Young
Lee, Joo-Yong
Mathematical Modeling of p53 Pathways
title Mathematical Modeling of p53 Pathways
title_full Mathematical Modeling of p53 Pathways
title_fullStr Mathematical Modeling of p53 Pathways
title_full_unstemmed Mathematical Modeling of p53 Pathways
title_short Mathematical Modeling of p53 Pathways
title_sort mathematical modeling of p53 pathways
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834204/
https://www.ncbi.nlm.nih.gov/pubmed/31635420
http://dx.doi.org/10.3390/ijms20205179
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